Impact of AI on Mobile Computing: A Systematic Review from a Human Factors Perspective

Jiayu Chen, Bhargav Ganguly, Sameeran G. Kanade, Vincent G. Duffy

Abstract: The integration of Artificial Intelligence (AI) in mobile computing has brought significant advancements in creating user-centric applications and interfaces that enhance user experience, promote accessibility, and facilitate personalized interactions. This paper explores the influence of AI on mobile computing from a human factors perspective, emphasizing the importance of understanding user needs, preferences, and limitations in designing AI-powered mobile applications. Tools like VOSviewer, MAXQDA, and Citespace have been used for bibliometric analysis. The study highlights key areas such as context-aware computing, adaptive user interfaces, affective computing, and ethical considerations. It emphasizes the need for personalized experiences, improved accessibility, and inclusiveness in mobile applications. Additionally, the paper addresses ethical concerns and potential biases in AI algorithms, emphasizing the importance of responsible and transparent AI implementation. The discussion section underscores the intricate relationship between technology and user experiences, emphasizing the need for a comprehensive understanding of both AI and human factors to create user-centric mobile computing solutions. Future work includes establishing testing frameworks and collaborations to overcome challenges and ensure responsible development and deployment in mobile computing.